… Olshausen, “Joint source-channel coding with neural networks for analog data compression
and storage,” in 2018 Data Compression Conference, March 2018, pp. 147–156. [41] E. …

… investigate joint source channel coding (JSCC) for wireless image transmission over multipath
fading channels… Yu, “Infomax neural joint source-channel coding via adversarial bit flip,” in …

… We present a novel adaptive deep joint source-channel coding (JSCC) scheme for wireless
image transmission. The proposed scheme supports multiple rates using a single deep neu…

… -to-end optimized neural joint sourcechannel coding (JSCC) has … of neural JSCC is based
on the convolutional neural network (… leading to inferior system coding gain against traditional …

… • NECST (Ideal): We consider the neural joint sourcechannel coding (NECST) approach
in [33], which assumes the BSCs with the homogeneous bit-flip probabilities, with an ideal …

… over noisy channels, an autoencoder-based novel deep joint sourcechannel coding scheme
… simple neural network architectures were used as encoder and decoder for Gauss-Markov …

… efficiency deep joint source-channel coding methods that can closely adapt to the source
distribution … Therefore, in this paper, we introduce the dynamic neural network structure [36] into …

… All neural network components are trained jointly and the performance is optimized on …
Merhav, “On hierarchical joint sourcechannel coding with degraded side information,” IEEE …

… or JPEG2000 with capacityachieving channel codes. [30] … the joint source channel encoder
and joint source channel decoder … of the neural encoder in our proposed method are source …

… Joint source and channel coding has been demonstrated as an … At the outset, fully connected
and convolutional neural … DL-based joint source and channel coding improves the peak …